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plotly

Generate interactive charts and visualizations using the Plotly Python library.

8|Updated Jan 13, 2026
Search Tags:#dashboards#charts#interactive#data analysis#visualization#plotting
One-click install
npx skills add https://github.com/hxk622/TokenDance --skill plotly-hxk622
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: plotly
Source: https://github.com/hxk622/TokenDance/tree/main/backend/app/skills/builtin/scientific/visualization/plotly
Command: npx skills add https://github.com/hxk622/TokenDance --skill plotly-hxk622

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill empowers users to generate a wide array of interactive charts and visualizations from data, making complex information accessible and explorable.

Core Features & Use Cases

  • Interactive Charts: Create plots with hover info, zoom, pan, and web-embeddable capabilities.
  • Diverse Chart Types: Supports 40+ chart types including scatter, line, bar, heatmap, 3D plots, and maps.
  • Use Case: Visualize sales data with interactive dashboards, explore scientific datasets with dynamic plots, or create engaging presentations with embeddable charts.

Quick Start

Use the plotly skill to create a scatter plot from the dataframe df with 'x' on the x-axis and 'y' on the y-axis.

Frequently Asked Questions about plotly

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create interactive charts and visualizations from my data?▼

Interactive charts and visualizations are generated using the Plotly Python library, supporting features like hover information, zoom, pan, and web embedding. It facilitates exploratory data analysis and dashboard creation directly from your datasets.

What types of interactive plots can I generate for data analysis?▼

Interactive plots for data analysis include over 40 chart types such as scatter, line, bar, heatmap, 3D plots, and maps. These are built leveraging the Plotly Express and Graph Objects APIs to handle diverse visualization needs.

Can I build interactive dashboards with presentation-ready graphics?▼

Building interactive dashboards with presentation-ready graphics is fully supported. You can visualize datasets with dynamic plots and create engaging presentations using web-embeddable charts that feature zoom and pan capabilities.

How do I plot a scatter plot from a dataframe?▼

Plotting a scatter plot from a dataframe involves specifying the dataframe and mapping specific columns to the x and y axes. This core action utilizes the Plotly Express API to quickly generate the interactive visual.

What is the best way to visualize scientific datasets with dynamic plots?▼

Visualizing scientific datasets with dynamic plots is handled by creating interactive charts that offer hover info and web embedding. This approach makes complex scientific information accessible and explorable for thorough analysis.

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